Pour les demandes entreprises : (+33) 970 466 303

Pour les demandes particuliers : (+33) 180 272 016

A propos de la formation Power BI

Power BI, a leading Business Intelligence tool, excels in facilitating decision-making with its versatile features. Seamlessly connecting to various data sources, including CRM and ERP, and integrating effortlessly with Microsoft products like Excel and Azure Cloud, Power BI offers an intuitive interface for dashboard creation. Data management is simplified through drag-and-drop functionality and natural language queries, with the added advantage of multiple daily data refreshes for real-time accuracy

Détails
Objectifs pédagogiques de la formation Power BI
  • Understand the process of creating a Power BI report
  • Establish connections with various data sources
  • Perform data transformation- cleaning and integration
  • Organize and structure a data model effectively
  • Develop initial measures using DAX and key performance indicators
  • Present these indicators within Power BI reports
  • Learn how to share and distribute reports.

Qui devrait suivre cette formation Power BI ?

Public visé par la formation Power BI

Financial controllers, data analysts, IT professionals, and business analysts.

Prérequis de la formation Power BI

Solid understanding of Excel, including calculation functions, lists, pivot tables, and charts.

Formations Similaires

Déroulé de la formation Power BI


Module 1: Introduction to Power BI Tools

Definition of Business Intelligence (BI)

Overview of Microsoft's Power BI solution

Power BI Desktop and Power BI Services

Power BI Desktop interface

Accessing the Power BI service

Introduction to technologies integrated into Power BI Desktop

Power BI report creation cycle

Power BI licenses
 

Module 2: Power Query - Creating Queries

Introduction to Power Query and its interface

Data mode

Applied steps principle

Obtaining data from various sources (Flat files, Excel, databases, Cloud, Web)

Essential applied steps for data transformation

Practical exercises, creating a query connected to an Excel file, and converting data types
 

Module 3: Power Query - Creating Queries (Continued)

Data cleaning techniques

Splitting or merging columns, cleaning spaces and field errors, replacing values

Adding custom columns using simple calculations and conditional expressions

Combining queries through merging or appending

Data refreshing and manual data entry

Practical exercises, creating a merged query from two queries, and creating a calculated column


Module 4: Building a Data Model

Vocabulary of relational models

Primary keys, foreign keys, relationships, and cardinalities

Relational approach in Power BI models

Star schema

Fact and dimension tables

Model view

Creating and managing relationships between tables

Introduction to DAX language for querying data

Creating calculated columns

Generating a date table in DAX

Practical exercises, creating relationships between tables, and creating a DAX-based date table


Module 5: Building a Data Model (Continued)

Creating measures

Concept of evaluation context

Essential DAX functions: RELATED, DIVIDE, IF, SWITCH, LEFT, RIGHT, YEAR, MONTH

Aggregation functions: SUM, AVERAGE, COUNTA

Iteration functions: SUMX, AVERAGEX, COUNTAX

Using quick measures for common calculations and initial Time Intelligence measures


Module 6: Creating Visualizations

Report view

Building visualizations

Data Visualization best practices

Choosing the right chart types

Tips for enhancing visual impact

Setting up comparison, distribution, and trend charts (Histograms, bars, rings, sectors, Treemap, curves)

Using visualizations to display data (Maps, tables, matrices)


Module 7: Creating Visualizations (Continued)

Displaying analyses with geographical data

Maps and choropleth maps

Exploring formatting features

Filter tools

Segments and filter pane

Synchronizing segments across pages and filter scope

Creating relative numeric and chronological filters

Key Performance Indicators (KPI)

KPI visualization

Conditional formatting

Interactive tools (Bookmarks, buttons)

Theme management

Inserting backgrounds, shapes, and images

Practical exercises, creating visual filters with segments, using tables and matrices for numerical analyses


Module 8: Sharing Visualizations on Power BI Site

Connecting and navigating the Power BI site

Workspace exploration

Introduction to user rights management

Understanding reports, dashboards, and datasets

Publishing reports on a Power BI site

Updating data between Power BI Desktop and Power BI Service

Using Power BI Service tools to modify content online

Sharing reports and dashboards with applications

Integrating Power BI reports into Teams

 

Formations Similaires
Qlikview Détails
Qlik Sense Détails
SAP HANA Détails
SAP BI(BO) Détails
Suite Microsoft (SSIS-SSAS-SSRS) Détails
Data Science Détails
Python Détails
Talend Détails
Microsoft BI (MCSE) Détails
Microsoft Power BI Détails
sap bi / bw Détails
Informatica PowerCenter Détails
Big Data & machine learning Détails
Machine Learning Supervisé et Non Supervisé Détails
Machine Learning pratique Détails
Business Data Analyst Détails
Finance Data Analyst (Power BI, Python pour Finance) Détails
Data Analysts – Analyse et Interprétation de Données Détails
Power BI Data Analyst Associate (PL-300) Détails
IIBA ECBA Détails
Apache Spark 3.5 & Databricks Détails

Foire Aux Questions

While both Power BI and Excel are powerful tools, they serve different purposes. Excel is a spreadsheet software primarily used for data analysis and calculations, while Power BI is designed specifically for business intelligence, offering advanced data visualization, analytics, and reporting capabilities.

Vous pouvez faire l’inscription ou la demande du devis avec un seul click